| Accelerating hyperparameter tuning of a deep learning model for remote sensing image classification M Aach, R Sedona, A Lintermann, G Cavallaro, H Neukirchen, M Riedel IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 7 | 2022 |
| Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks M Aach, E Inanc, R Sarma, M Riedel, A Lintermann Journal of Big Data 10 (1), 96, 2023 | 4 | 2023 |
| Speed-up of machine learning for sound localization via high-performance computing EM Sumner, M Aach, A Lintermann, R Unnthorsson, M Riedel 2022 26th International Conference on Information Technology (IT), 1-4, 2022 | 4* | 2022 |
| Analysis of chest X-ray for COVID-19 diagnosis as a use case for an HPC-enabled data analysis and machine learning platform for medical diagnosis support C Barakat, M Aach, A Schuppert, S Brynjólfsson, S Fritsch, M Riedel Diagnostics 13 (3), 391, 2023 | 3 | 2023 |
| Generalization over different cellular automata rules learned by a deep feed-forward neural network M Aach, JH Goebbert, J Jitsev arXiv preprint arXiv:2103.14886, 2021 | 3 | 2021 |
| Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods M Aach, E Inanc, R Sarma, M Riedel, A Lintermann International Conference on Automated Machine Learning, 12/1-17, 2023 | 1 | 2023 |
| Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations X Liu, M Rüttgers, A Quercia, R Egele, E Pfaehler, R Shende, M Aach, ... Future Generation Computer Systems, 2024 | | 2024 |
| Distributed Hybrid Quantum-Classical Performance Prediction for Hyperparameter Optimization E Wulff, JPG Amboage, M Aach, TE Gislason, TK Ingolfsson, ... | | 2024 |
| Turbulent Flow Prediction-Simulation: Strained Flow with Initial Isotropic Condition Using a GRU Model Trained by an Experimental Lagrangian Framework, with Emphasis on … R Hassanian, M Aach, A Lintermann, Á Helgadóttir, M Riedel Fluids 9 (4), 84, 2024 | | 2024 |
| Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision M Aach, R Sarma, E Inanc, M Riedel, A Lintermann Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
| AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets E Inanc, R Sarma, M Aach, R Sedona, A Lintermann Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
| AI4HPC v0. 3 E Inanc, R Sarma, M Aach, A Lintermann Jülich Supercomputing Center, 2023 | | 2023 |
| Deep Learning for Prediction and Control of Cellular Automata in Unreal Environments M Aach Jülich Supercomputing Center, 2021 | | 2021 |
| A Hybrid Quantum-Classical Workflow for Hyperparameter Optimization of Neural Networks M Aach, E Wulff, E Pasetto, A Delilbasic, R Sarma, E Inanc, M Girone, ... | | |
Andreas LintermannGroup lead, Simulation and Data Lab Highly Scalable Fluids & Solids Enginerring, ForschungszentrumVerified email at aia.rwth-aachen.de
